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Ancient DNA and RNA are valuable data sources for a wide range of disciplines. Within the field of ancient metagenomics, the number of published genetic datasets has risen dramatically in recent years, and tracking this data for reuse is particularly important for large-scale ecological and evolutionary studies of individual taxa and communities of both microbes and eukaryotes. AncientMetagenomeDir (archived at https://doi.org/10.5281/zenodo.3980833 ) is a collection of annotated metagenomic sample lists derived from published studies that provide basic, standardised metadata and accession numbers to allow rapid data retrieval from online repositories. These tables are community-curated and span multiple sub-disciplines to ensure adequate breadth and consensus in metadata definitions, as well as longevity of the database. Internal guidelines and automated checks facilitate compatibility with established sequence-read archives and term-ontologies, and ensure consistency and interoperability for future meta-analyses. This collection will also assist in standardising metadata reporting for future ancient metagenomic studies.
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http://dx.doi.org/10.1038/s41597-021-00816-y | DOI Listing |
Patterns (N Y)
July 2025
L3S Research Center, Leibniz University Hannover, Hannover, Germany.
OpenML is an open-source platform that democratizes machine-learning evaluation by enabling anyone to share datasets in uniform standards, define precise machine-learning tasks, and automatically share detailed workflows and model evaluations. More than just a platform, OpenML fosters a collaborative ecosystem where scientists create new tools, launch initiatives, and establish standards to advance machine learning. Over the past decade, OpenML has inspired over 1,500 publications across diverse fields, from scientists releasing new datasets and benchmarking new models to educators teaching reproducible science.
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July 2025
University of Washington, Department of Astronomy, Seattle, WA, USA.
Machine learning and artificial intelligence promise to accelerate research and understanding across many scientific disciplines. Harnessing the power of these techniques requires aggregating scientific data. In tandem, the importance of open data for reproducibility and scientific transparency is gaining recognition, and data are increasingly available through digital repositories.
View Article and Find Full Text PDFGenome Biol
September 2025
Department of Clinical Pharmacy, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, 90089, USA.
Background: Recent advances in high-throughput sequencing technologies have enabled the collection and sharing of a massive amount of omics data, along with its associated metadata-descriptive information that contextualizes the data, including phenotypic traits and experimental design. Enhancing metadata availability is critical to ensure data reusability and reproducibility and to facilitate novel biomedical discoveries through effective data reuse. Yet, incomplete metadata accompanying public omics data may hinder reproducibility and reusability and limit secondary analyses.
View Article and Find Full Text PDFJ Imaging Inform Med
September 2025
Department of Radiology, University of Cincinnati, Cincinnati, OH, USA.
Background: Ocular imaging is essential to the diagnosis and management of eye disease, yet standardized imaging workflows remain underdeveloped in the eye care setting. This manuscript describes the design and implementation of an orders-based imaging workflow for ambulatory ophthalmology integrated with the electronic health record and enterprise imaging systems.
Methods: We developed a DICOM-compliant workflow for pediatric ophthalmology imaging that supports HL7 integration, DICOM modality worklists, and enterprise archive storage.
Mar Pollut Bull
September 2025
Florida International University, Civil and Environmental Engineering, 10555 West Flagler Street, Engineering Center, Miami, Florida 33174, USA. Electronic address:
Marine ecosystems are increasingly threatened by anthropogenic pollutants, including plastics, persistent organic pollutants, heavy metals, oil, and emerging contaminants. This meta-analysis examined the accumulation patterns of five major contaminants-mercury (Hg), polychlorinated biphenyls (PCBs), microplastics, per- and polyfluoroalkyl substances (PFAS), and polycyclic aromatic hydrocarbons (PAHs)-in relation to trophic level and lifespan across marine species. Data synthesis revealed distinct differences in bioaccumulation and biomagnification between legacy and emerging contaminants.
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